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Record W6941032365 · doi:10.11575/prism/44693

Exploring the “how” in research partnerships with young partners by experience: lessons learned in six projects from Canada, the Netherlands, and the United Kingdom

2022· other· en· W6941032365 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2022
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)Thematic analysisValue (mathematics)General partnershipQualitative researchFocus group

Abstract

fetched live from OpenAlex

Abstract Background Involvement of young partners by experience in research is on the rise and becoming expected practice. However, literature on how to promote equitable and meaningful involvement of young people is scarce. The purpose of this paper is to describe and reflect on different approaches between researchers and young partners by experience based on six research projects conducted in Canada, Netherlands, and United Kingdom. Methods From six exemplar research projects, at least one researcher and one young partner by experience were asked to collaboratively (1) describe the project; (2) summarise the values and practicalities of the project; and (3) reflect on their partnership. Thematic analysis was applied to the findings from these reflective exercises, which included meeting summaries, recordings, and notes. Results All projects shared similar values, including mutual respect between all team members. Young partners were offered a variety of opportunities and approaches to being involved, for example in recruiting participants, co-analysing or (co-)presenting results. Supports were provided to the teams in a variety of ways, including organizing accessible meetings and having dedicated facilitators. Regular and proactive communication was encouraged by using asynchronous modes of communication, establishing reference documents, and a personal approach by facilitators. Facilitators aimed to tailor the needs of all team members by continuously discussing their preferred roles in the project. While most projects did not offer formal research training, various learning and skill development opportunities were provided throughout, including presenting skills or advocacy training. Conclusion With this paper, we demonstrated the value of reflection, and we invite others to reflect on their partnerships and share their lessons learned. Our recommendations for involvement of young people in research are: (1) Remember that it is okay to not know what the partnership might look like and there is no single recipe of how to partner; (2) Take the time to invest in partnerships; (3) Provide ongoing opportunities to reflect on partnerships; (4) Consider how to balance the power dynamics; and (5) Consider how to incorporate diversity in the background of young partners in research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.227
GPT teacher head0.289
Teacher spread0.062 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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